• DocumentCode
    2050220
  • Title

    Naturally Adaptive Protocol for Wireless Sensor Networks Based on Slime Mold

  • Author

    Li, Ke ; Thomas, Kyle ; Torres, Claudio E. ; Rossi, Louis F. ; Shen, Chien-Chung

  • Author_Institution
    Comput. & Inf. Sci., Univ. of Delaware, Newark, DE, USA
  • fYear
    2009
  • fDate
    14-18 Sept. 2009
  • Firstpage
    280
  • Lastpage
    281
  • Abstract
    Given an arbitrary deployment of sensor nodes, one fundamental design issue in wireless sensor networks (WSNs) is to connect the source nodes collecting sensing data to the sinks so that sensing data flows efficiently and reliably to the sinks. To facilitate such data collection, we require a path formation protocol that will determine multi-hop routes between source nodes and data sinks. We avoid strategies that rely upon global coordination and optimization because these approaches do not scale well in large networks or networks where nodes are added or deleted dynamically, or where connections form or break easily. To find strong solutions that rely upon local interactions, we draw inspiration from true slime mold Physarum polycephalum, a biological system that has properties aligned with the requirements of sensor networks. In particular, Physarum polycephalum dynamics constructs resource distribution networks in response to environmental conditions.
  • Keywords
    protocols; wireless sensor networks; Physarum polycephalum; adaptive protocol; biological system; data collection; global coordination; path formation protocol; slime mold; wireless sensor networks; Adaptive systems; Biological systems; Chemical engineering; Chemical sensors; Computer networks; Organisms; Resource management; USA Councils; Wireless application protocol; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems, 2009. SASO '09. Third IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-4890-6
  • Electronic_ISBN
    978-0-7695-3794-8
  • Type

    conf

  • DOI
    10.1109/SASO.2009.30
  • Filename
    5298425